Article Per Year (5 Year)
p-Index From 2021 - 2026
0.983
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Ta´dib JURNAL ISTEK SMATIKA JOIN (Jurnal Online Informatika) ISTEK
Undang Syaripudin, Undang
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : JOIN (Jurnal Online Informatika)

 1 
Decision Support System for Employee Recruitment Using El Chinix Traduisant La Realite (Electre) And Weighted Product (WP) Mohamad Irfan; Undang Syaripudin; Cecep Nurul Alam; Muhammad Hamdani
JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.606

Abstract

Management of human resources (HR) is important to achieve company goals. One of the activities in HR management is recruitment, selection, and training. Recruitment and selection are usually done not using a system so that the calculations are still done manually. But by processing data using the system can produce a decision in recommending prospective employees that can have a positive impact on the company. The company selection process is carried out through two stages: administrative selection and final selection in the form of psychological test assessment, interviews, ability tests and communication. The use of the Elimination Et Choix Traduisant La Realite (ELECTRE) method in the administrative selection stage and the Weighted Product (WP) method in the final selection stage is a new discovery made to get the best decision in accordance with the required criteria. By using this method the final results will be obtained namely the recommendation of several prospective employees who are fit to work in the company. The performance results of this system reach one hundred percent, the data from the system is in accordance with the expected calculation.
Implementasi Teknologi Augmented Reality pada Buku Panduan Wudhu Berbasis Mobile Android Setiawan, Erwin; Syaripudin, Undang; Gerhana, Yana Aditia
JOIN (Jurnal Online Informatika) Vol 1 No 1 (2016)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v1i1.8

Abstract

Augmented Reality (AR) adalah teknologi interaktif yang mampu memproyeksikan objek maya ke dalam objek nyata secara real time. Perkembangan teknologi AR dewasa ini telah memberikan banyak kontribusi ke dalam berbagai bidang. Salah satu implementasi AR di bidang edukasi adalah AR Book. Buku merupakan salah satu media pembelajaran yang banyak digunakan. Selain itu, buku juga digunakan sebagai alat berkomunikasi oleh guru maupun orang tua terhadap anak-anak, misalkan seperti jenis buku panduan mengenai tatacara wudhu. Wudhu adalah suatu bentuk peribadatan kepada Allah Ta’ala dengan mencuci anggota tubuh tertentu dengan tata cara yang khusus. Wudhu khususnya diperintahkan sebelum melaksanakan ibadah shalat dan thawaf. Umat muslim harus mengetahui tatacara berwudhu yang benar. Salah satu sistem operasi yang digunakan pada mobile phone atau smartphone yaitu Android. Android adalah sebuah sistem operasi untuk perangkat mobile yang berbasis Linux dan bersifat open source. Dengan memanfaatkan media mobile untuk membangun aplikasi menggunakan teknologi augmented reality sebagai media pembelajaran, aplikasi AR berbasis mobile mempunyai keunggulan karena sifatnya yang mudah berpindah
Decision Support System for Employee Recruitment Using El Chinix Traduisant La Realite (Electre) And Weighted Product (WP) Irfan, Mohamad; Syaripudin, Undang; Alam, Cecep Nurul; Hamdani, Muhammad
JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.606

Abstract

Management of human resources (HR) is important to achieve company goals. One of the activities in HR management is recruitment, selection, and training. Recruitment and selection are usually done not using a system so that the calculations are still done manually. But by processing data using the system can produce a decision in recommending prospective employees that can have a positive impact on the company. The company selection process is carried out through two stages: administrative selection and final selection in the form of psychological test assessment, interviews, ability tests and communication. The use of the Elimination Et Choix Traduisant La Realite (ELECTRE) method in the administrative selection stage and the Weighted Product (WP) method in the final selection stage is a new discovery made to get the best decision in accordance with the required criteria. By using this method the final results will be obtained namely the recommendation of several prospective employees who are fit to work in the company. The performance results of this system reach one hundred percent, the data from the system is in accordance with the expected calculation.
Chatbot for Signaling Quranic Verses Science Using Support Vector Machine Algorithm Syaripudin, Undang; Suparman, Deden; Gerhana, Yana Aditia; Rahayu, Ayu Puji; Mintarsih, Mimin; Alawiyah, Rizka
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.827

Abstract

The many verses in the Qur'an encourage finding the right way how to understand it thematically. The purpose of the research is to develop a chatbot application that can be used to explore and elaborate the content of verses in the Qur’an that hint at science. The support vector machine (SVM) algorithm classifies question and answers datasets in chatbot applications. The number of data sets used is 76, with test data as much as 10%. The test results show that the SVM algorithm is quite good in classifying, with an accuracy value of 87.5%. While the user test results obtained an average MOS of 8.4, which means the chatbot application developed is very effective in understanding the Qur'an, which implies science. This research is expected to provide an overview of the explanation of the Qur'an about science and technology.
Co-Authors ALAWIYAH, RIZKA Anwar, Muhammad Afian Arief Fatchul Huda Ayu Puji Rahayu Cecep Nurul Alam Cecep Nurul Alam, Cecep Nurul Cepy Slamet Dede K Deden Suparman, Deden Devi Novitasari Erwan Yani Erwin Setiawan, Erwin Heryanto, Rafi Rai Ijang Badruzaman M. Ramdhani Mintarsih, Mimin Mohamad Erihadiana, Mohamad Mohamad Irfan Mohamad Irfan, Mohamad Muhammad Hamdani Muhammad Hamdani, Muhammad Nur Lukman Suhendar, Hilman Yana Aditia Gerhana, Yana Aditia Yogi Saputra